Restructuring Training (Participation House Support Services)
Bibliographic record
Abstract
Participation House Support Services (PHSS) is a non-profit organization with over 60 locations across Ontario that serves individuals with complex medical, physical, and developmental needs with the goal of including them in the community. The scope of the project covers members of the PHSS organization and the London community that they serve by addressing problems with burnout and culture of resentment that the Coordinators of the organization face. After initial discussions with the community partner, qualitative research was done via focus groups with PHSS Coordinators and training staff. An agreed-upon solution of restructuring the training process was developed, as training is a heavy task for Coordinators in addition to their daily patient-centered responsibilities. Currently, training occurs for one day at their Project Hope location prior to new hires entering specific PHSS locations. This has caused issues with information overload and unmatched expectations. The outcome of this project is to add an additional day of training at Project Hope so new hires are better trained and more knowledgeable before entering locations to engage in patient-centered training. Although not all training processes are feasible to delegate to Project Hope, most of the administrative tasks offloaded from the Coordinators should result in less burnout and a more positive culture for the organization. In addition, a feedback form will be created to gauge the effectiveness of the deliverable. The new training structure will be piloted for 20 new hires and additional videos will be added prior to implementing it across all 60+ PHSS locations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.076 | 0.016 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".